Exploring Reasoning Capabilities of NLP systems using Recognizing Textual Entailment

• Event: Seminar
• Lecturer: Adam Poliak
• Date: 09 June 2021
• Duration: 2 hours
• Venue: Gothenburg

Natural Language Processing (NLP) is the field of building machines that humans can seamlessly interact with through spoken and written language. As NLP systems become more ubiquitous in our daily lives through technologies like Google Translate and Apple’s Siri, it is important to develop methods that provide insight into understanding the reasoning capabilities of these systems. I will cover my work on developing diagnostic test-suites composed of fine-grained semantic phenomena. With remaining time, I will highlight some recent work in the community applying RTE as an evaluation method to downstream NLP models.